Evidence map›Paper›PMID 42753164›Full record

ArticleJournal of separation science2026

A Five-Dimensional "Spider-Web" Strategy for Quality Markers Identification of Traditional Chinese Medicine Compound Preparations Based on an Integrated Characteristic Network.

Ji-Yan Li, Fang-Di Hu, Juan Chen

Abstract read
In one paragraph

Article in Journal of separation science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ji-Yan LiSchool of Pharmacy, Lanzhou University, Lanzhou, China.
Fang-Di HuSchool of Pharmacy, Lanzhou University, Lanzhou, China.
Juan ChenSchool of Pharmacy, Lanzhou University, Lanzhou, China.

Funding

Gansu Province Major Special Project 26ZDLA002Gansu Province Traditional Chinese Medicine Research GZKZ-2025-51Industrial Support Program Project of Gansu Provincial Education Department 2026CYZC-006
6 · The paper itself

Abstract

Given the complex composition of traditional Chinese medicine (TCM) formulas, quality evaluation cannot rely on a single component or a limited few. Therefore, a five-dimensional quality marker (Q-marker) identification system encompassing "effectiveness, specificity, transferability, measurability, and formula compatibility" was developed and subsequently applied to Fufang Huangqi Jianpi oral liquid (FFHQJPOL) as an example. Using UHPLC-Q-TOF/MS, 62 compounds were identified in the preparation. The measurability dimension was constructed based on 17 major constituents derived from 23 common peaks in the chromatographic fingerprints of 10 batches. Serum pharmacochemistry via UHPLC-Q-TOF/MS revealed 32 prototype components absorbed into the bloodstream, thereby establishing the transferability dimension. Network pharmacology approaches were applied to construct a "component-target-disease-pathway" network, defining the effectiveness dimension. A topological network of compounds and herbs was established to depict the distribution pattern of the candidate compounds across various herbs, thereby revealing specificity. The compound compatibility dimension was established based on the function and proportional weight of its active ingredients in the formula. Ultimately, through regression area (RA) and coefficient of variation (CV) calculation, 3-hydroxy-9,10-dimethoxypterocarpan, ononin, zizyphusine, calycosin-7-O-glucoside, and sinapine were initially identified as the key Q-markers. It is worth mentioning that astragaloside IV and astragaloside II were additionally incorporated into the Q-markers system based on UHPLC-Q-TOF/MS analysis and their known pharmacological activities, ultimately establishing seven key Q-markers for FFHQJPOL. This strategy provided a multi‑dimensional integrated paradigm for Q‑markers discovery in TCM compound preparations, facilitating the transition from single‑index to system‑integrated quality control.

Indexed as

Drugs, Chinese HerbalBiomarkersChromatography, High Pressure LiquidLiquid Chromatography-Mass SpectrometryMass SpectrometryMedicine, Chinese TraditionalQuality ControlBiomarkersDrugs, Chinese HerbalFufang Huangqi Jianpi oral liquidquality markers“spider‐web” modeltraditional Chinese medicine

Identifiers

PMID42753164
PMCPMC13584845

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.